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MCQs

Random Variable And Probability Distributions

Total Questions : 83 | Page 7 of 9 pages
Question 61. The successful life of product, the time, the weight and the height are classified as
  1.    continuous random variable
  2.    discrete random variable
  3.    continuous waiting time variable
  4.    continuous hyper geometric variable
 Discuss Question
Answer: Option A. -> continuous random variable
Answer: (a).continuous random variable
Question 62. The number of units multiply profit per unit multiply probability to calculate
  1.    discrete profit
  2.    expected profit
  3.    weighted profit
  4.    continuous profit
 Discuss Question
Answer: Option B. -> expected profit
Answer: (b).expected profit
Question 63. In beta distribution, the expected value of random variable x is calculated as
  1.    E(x) = m ⁄ m - n
  2.    E(x) = n ⁄ m + n
  3.    E(x) = m ⁄ m + n
  4.    E(x) = n ⁄ m * n
 Discuss Question
Answer: Option C. -> E(x) = m ⁄ m + n
Answer: (c).E(x) = m ⁄ m + n
Question 64. If the value of p is smaller or lesser than 0.5 then the binomial distribution is classified as
  1.    skewed to right
  2.    skewed to left
  3.    skewed to infinity
  4.    skewed to integers
 Discuss Question
Answer: Option A. -> skewed to right
Answer: (a).skewed to right
Question 65. In binomial distribution, the formula of calculating mean is
  1.    μ = p + q
  2.    μ = np
  3.    μ = pq
  4.    μ = qn
 Discuss Question
Answer: Option B. -> μ = np
Answer: (b).μ = np
Question 66. The value which is obtained by multiplying the possible values of random variable with the probability of occurrence and is equal to weighted average is called
  1.    discrete value
  2.    weighted value
  3.    expected value
  4.    cumulative value
 Discuss Question
Answer: Option C. -> expected value
Answer: (c).expected value
Question 67. If the μ is equal to 8 then the standard deviation of exponential probability distribution is
  1.    0.425
  2.    0.125
  3.    0.225
  4.    0.325
 Discuss Question
Answer: Option B. -> 0.125
Answer: (b).0.125
Question 68. The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is
  1.    1925
  2.    6364
  3.    63.64
  4.    3500
 Discuss Question
Answer: Option A. -> 1925
Answer: (a).1925
Question 69. The formula of calculating mean for hyper geometric probability distribution is
  1.    n (m ⁄ n)
  2.    m (n ⁄ n)
  3.    n (n ⁄ m)
  4.    n (m ⁄ n)
 Discuss Question
Answer: Option D. -> n (m ⁄ n)
Answer: (d).n (m ⁄ n)
Question 70. The formula in which the binomial distribution approaches normal probability distribution with the help of normal variable is written as
  1.    x - qn divided by square root of pq
  2.    x - np divided by square root of npq
  3.    x + np divided by square root of np
  4.    x - pq divided by square root of npq
 Discuss Question
Answer: Option B. -> x - np divided by square root of npq
Answer: (b).x - np divided by square root of npq

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